
A First Course in Optimization Theory
Rangarajan K. Sundaram(Author)
Cambridge University Press
Published on 13. June 1996
Book
Hardback
376 pages
978-0-521-49719-0 (ISBN)
Description
This book, first published in 1996, introduces students to optimization theory and its use in economics and allied disciplines. The first of its three parts examines the existence of solutions to optimization problems in Rn, and how these solutions may be identified. The second part explores how solutions to optimization problems change with changes in the underlying parameters, and the last part provides an extensive description of the fundamental principles of finite- and infinite-horizon dynamic programming. Each chapter contains a number of detailed examples explaining both the theory and its applications for first-year master's and graduate students. 'Cookbook' procedures are accompanied by a discussion of when such methods are guaranteed to be successful, and, equally importantly, when they could fail. Each result in the main body of the text is also accompanied by a complete proof. A preliminary chapter and three appendices are designed to keep the book mathematically self-contained.
Reviews / Votes
'... the book is an excellent reference for self-studies, especially for students in business and economics.' H. Noltemeier, WuerzbergMore details
Language
English
Place of publication
Cambridge
United Kingdom
Target group
Professional and scholarly
Illustrations
11 Line drawings, unspecified
Dimensions
Height: 260 mm
Width: 183 mm
Thickness: 25 mm
Weight
901 gr
ISBN-13
978-0-521-49719-0 (9780521497190)
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Schweitzer Classification
Other editions
Additional editions

Rangarajan K. Sundaram
A First Course in Optimization Theory
E-Book
10/2013
1st Edition
Cambridge University Press
€41.49
Available for download

Rangarajan K. Sundaram
First Course in Optimization Theory
E-Book
06/1996
Cambridge University Press
€35.49
Available for download
Person
Content
1. Mathematical preliminaries; 2. Optimization in Rn; 3. Existence of solutions: the Weierstrass theorem; 4. Unconstrained optima; 5. Equality constraints and the theorem of Lagrange; 6. Inequality constraints and the theorem of Kuhn and Tucker; 7. Convex structures in optimization theory; 8. Quasi-convexity and optimization; 9. Parametric continuity: the maximum theorem; 10. Supermodularity and parametric monotonicity; 11. Finite-horizon dynamic programming; 12. Stationary discounted dynamic programming; Appendix A. Set theory and logic: an introduction; Appendix B. The real line; Appendix C. Structures on vector spaces; Bibliography.